Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Information extraction from HTML: application of a general machine learning approach
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Scaling question answering to the web
ACM Transactions on Information Systems (TOIS)
Handbook of Applied Cryptography
Handbook of Applied Cryptography
Hierarchical Wrapper Induction for Semistructured Information Sources
Autonomous Agents and Multi-Agent Systems
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
WebSuite: A Tool Suite for Harnessing Web Data
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Information Extraction as a Core Language Technology
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Integrating Ontological and Linguistic Knowledge for Conceptual Information Extraction
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Wrapper maintenance: a machine learning approach
Journal of Artificial Intelligence Research
Keyword spices: a new method for building domain-specific web search engines
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Planning to gather inforrnation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
An obligation-based framework for web service composition via agent conversations
Web Intelligence and Agent Systems
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With the rapid growth of the World Wide Web, there is growing interest in developing web agents that interact with online services to acquire information. However, finding the online services perfectly suited for a given task is not always feasible. First, the agents might not be given sufficient information to fill in the required input fields for querying an online service. Second, the online service might generate only partial information. Third, the agents might need to know the information about B by some input set A, but they can only find the online services that generate A from B. Fourth, most of the online services do not tolerate errors in the inputs, thus even a minor typo in the input field can hinder them from generating any meaningful results. This paper proposes SERGEANT, a framework for building flexible web agents that handle these imperfect situations. In this framework we exploit an information retrieval (IR) system as a general discovery tool to assist finding and pruning information. To demonstrate SERGEANT, we implemented two web agents: the Internet inverse geocoder and the address lookup module. Our experiments show that these agents are capable of generating high-quality results under imperfect situations.